Статті для всіх - Dr Barenya Bikash HazarikaДокладніше
Недоступно ніде: 6
Density-weighted support vector machines for binary class imbalance learning
BB Hazarika, D Gupta
Neural Computing and Applications 33 (9), 4243-4261, 2021
Мандати: Department of Science & Technology, India
Robust regularized extreme learning machine with asymmetric Huber loss function
D Gupta, BB Hazarika, M Berlin
Neural Computing and Applications 32 (16), 12971-12998, 2020
Мандати: Department of Science & Technology, India
Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction
BB Hazarika, D Gupta, M Berlin
Environmental Earth Sciences 79 (10), 234, 2020
Мандати: Department of Science & Technology, India
An intuitionistic fuzzy kernel ridge regression classifier for binary classification
BB Hazarika, D Gupta, P Borah
Applied Soft Computing 112, 107816, 2021
Мандати: Department of Science & Technology, India
A comparative analysis of artificial neural network and support vector regression for river suspended sediment load prediction
BB Hazarika, D Gupta, Ashu, M Berlin
First International Conference on Sustainable Technologies for Computational …, 2020
Мандати: Department of Science & Technology, India
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning
BB Hazarika, D Gupta, P Borah
Knowledge and Information Systems 65 (12), 5259-5288, 2023
Мандати: Department of Science & Technology, India
Доступно в інших місцях: 2
Artificial intelligence for suspended sediment load prediction: a review
D Gupta, BB Hazarika, M Berlin, UM Sharma, K Mishra
Environmental earth sciences 80 (9), 346, 2021
Мандати: Department of Science & Technology, India
A coiflet LDMR and coiflet OB-ELM for river suspended sediment load prediction
BB Hazarika, D Gupta, M Berlin
International Journal of Environmental Science and Technology 18 (9), 2675-2692, 2021
Мандати: Department of Science & Technology, India
Дані про публікацію й грошову підтримку визначаються автоматично комп'ютерною програмою